💬Natural-Language-Processing

This is the generalization of the family of function where Softmax Function belongs. Many many functions are part of this family, most of the distributions that are used in science are part of the exponential family, e.g. beta, Gaussian, Bernoulli, Categorical distribution, Gamma, Beta, Poisson, are all part of the exponential family. The useful thing is the generalization power of this set of functions: if you prove something about this family, you prove it for every distribution that is part of this family. This family of functions is also closely linked too Generalized Linear Models (GLMs). ...

This note is still a TODO. Transliteration is learning learning a function to map strings in one character set to strings in another character set. The basic example is in multilingual applications, where it is needed to have the same string written in different languages. The goal is to develop a probabilistic model that can map strings from input vocabulary $\Sigma$ to an output vocabulary $\Omega$. We will extend the concepts presented in Automi e Regexp for Finite state automata to a weighted version. You will also need knowledge from Descrizione linguaggio for definitions of alphabets and strings, Kleene Star operations. ...

The landscape of NLP was very different in the beginning of the field. “But it must be recognized that the notion ‘probability of a sentence’ is an entirely useless one, under any known interpretation of this term 1968 p 53. Noam Chomsky. Probability was not seen very well (Chomsky has said many wrong things indeed), and linguists were considered useless. Recently deep learning and computational papers are ubiquitous in major conferences in linguistics, e.g. ACL. ...

Language Constituents A constituent is a word or a group of words that function as a single unit within a hierarchical structure This is because there is a lot of evidence pointing towards an hierarchical organization of human language. Example of constituents Let’s have some examples: John speaks [Spanish] fluently John speaks [Spanish and French] fluently Mary programs the homework [in the ETH computer laboratory] Mary programs the homework [in the laboratory] ...